However, the study’s primary endpoint was not met, as the authors found that use of a wearable activity tracker (WAT) in addition to physical activity advice did not reduce the number of disease flares over a 12-week period.

Antsa Rakotozafiarison and Laure Gossec explore how wearable activity trackers coupled with machine learning can be used to monitor flares in people with rheumatic diseases.

Antsa Rakotozafiarison and Laure Gossec explore how wearable activity trackers coupled with machine learning can be used to monitor flares in people with rheumatic diseases.

The authors of a proof-of-concept study have demonstrated the feasibility of using wearable devices to measure changes in patterns of physical activity that may be indicative of gout flares.

Supported self-management improves attainment of urate targets in people with gout, research suggests.

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Gossec L et al.  Arthritis Care Res (Hoboken)  2018. doi: 10.1002/acr.23768

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“This low-cost technology is simple, effective, and well-placed to assist physicians in educating patients in this era when direct face-to-face consultations [are] proving to be increasingly difficult,” concluded the presenter. medwireNews is an independent medical news service provided by Springer Healthcare Ltd. © 2021 Springer Healthcare Ltd, part of the Springer Nature Group 3 June 2021: The coronavirus pandemic is affecting all healthcare professionals across the globe.

How will the FAST trial results impact regulatory guidance & clinical practice?

Moreover, De Vera says it is important to “ask people about their technology,” to find out whether they have internet access, what type of internet access they have, and what type of devices they have available.

Findings from two studies suggest that telemedicine is acceptable to people with rheumatic and musculoskeletal diseases, may improve access to care for those living in resource-limited settings, and is not associated with worse disease activity outcomes.

Experts discuss the increasing use of telemedicine in rheumatology during the COVID-19 pandemic.

Integration of clinical and protein biomarker data using a machine-learning approach may help to distinguish patients with psoriatic arthritis from those with psoriasis, suggests research presented at the ACR Convergence 2020 virtual meeting.

We talk to the experts about the increasing use of telemedicine in rheumatology during the COVID-19 pandemic, exploring what needs to be considered for different rheumatic diseases and whether telerheumatology is here to stay.

Machine learning models based on gene expression and DNA methylation profiles may accurately predict response to adalimumab and etanercept in patients with rheumatoid arthritis, research from the Netherlands shows.

Machine learning models based on gene expression and DNA methylation profiles may accurately predict response to adalimumab and etanercept in patients with rheumatoid arthritis, research from the Netherlands shows.